Skip to main content

Utah intersection Lidar traffic management from Seoul Robotics

Firm says signals at Salt Lake City installation are first to be Lidar-controlled in US
By Adam Hill July 8, 2024 Read time: 2 mins
Lidar sensors are at each corner of the intersection, and create a digital twin (image: Seoul Robotics)

Seoul Robotics has deployed its Lidar-powered traffic signal system in Utah, US.

Installed at the junction of State Street and 5900 South in Murray, Salt Lake City, this is the first intersection in the US where traffic signals are controlled directly by Lidar technology, Seoul Robotics says.

The Utah Department of Transportation (UDoT) wanted advanced sensor technology that can detect, count and track vehicles and other road users under any weather conditions. 

The installation is powered by Seoul Robotics' 3D Perception engine, housed in a compact edge device, with Lidar sensors at each corner of the intersection, which create a digital twin which feeds data to optimise traffic flow and reduces congestion.

Local distributor Gades Sales Company has ensured the system is integrated into local infrastructure, while Blue Band's software translates the data from the 3D Perception Engine into signal commands compatible with existing traffic controllers. 

Seoul Robotics says the solution "mounts directly onto existing infrastructure without significant road work and infrastructure changes". 

Traffic management features include precise stop-bar detection, advanced vehicle detection up to 300 feet from the stop bar, and red-light running. The system has a vehicle counting accuracy of 99.8% at the stop bar, the firm says.

 "Since its installation, our Lidar-based traffic management system has consistently demonstrated excellent detection and tracking of objects, ensuring reliable performance across all weather conditions," says Lee Han-bin, CEO of Seoul Robotics.

"This technology not only meets but exceeds the demands of modern traffic systems."

As well as vehicle flow, the system is designed to accurately count and monitor vulnerable road users, such as pedestrians and cyclists at crosswalks and kerbsides.

Seoul Robotics says deep learning and 3D computer vision ensure that all perceived objects are accurately tracked and classified in real time, enhancing safety and traffic flow across multiple road user types.

For more information on companies in this article

Related Content

  • Autonomous vehicles will not prevent half of real-world crashes
    April 5, 2017
    Alan Thomas of CAVT looks at the reality behind the safety claims fuelling the drive towards autonomous vehicles
  • Celebration in the air at Econolite
    May 1, 2012
    Econolite Group will use the 2012 ITS America Annual Meeting & Eposition to demonstrate its latest detection offerings - the Autoscope Duo (hybrid radar/video system), and RTMS - as well as featuring its Centracs ATMS and Centracs Adaptive software solutions. Indeed, there will be a celebratory air as the group continues its milestone celebration of the 100th Centracs order – achieved within three years of introduction. To be installed in Georgia, the advanced traffic management system software will be depl
  • Tecsidel’s Pan-American Highway tunnel eases Lima’s traffic woes
    December 4, 2018
    The Pan-American Highway connects the US and Canada with Latin America, running for thousands of miles from Alaska in the north to Argentina in the south. Mauro Nogarin finds that one tunnel built underneath it is now providing relief for thousands of travellers each day On the Pan-American Highway, the lengthy series of roads which spans both American continents - from the US state of Alaska to the Latin American country of Argentina - ITS solutions are many and varied. One of these, in Peru’s capital
  • Go wireless with Traffic Group
    December 2, 2021
    Wireless temporary traffic light system - Metro Haul Route Crossing System - launched